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Encyclopedia > Stereo cameras

Stereo cameras is one method of distilling a noisy video signal into a coherent data set that a computer can begin to process into actionable symbolic objects, or abstractions. Video (Latin for I see, first person singular present, indicative of videre, to see) is the technology of electronically capturing, recording, processing, storing, transmitting, and reconstructing a sequence of still images representing scenes in motion. ...


In this approach, two cameras with a known physical relationship (i.e. what common field of view the cameras can see, and how far apart their focal points sit in physical space) are correlated via software. By finding mappings of common pixel values, and calculating how far apart these common areas reside in pixel space, a rough depth map can be created. This is very similar to how the human brain uses stereoscopic information from the eyes to gain depth cue information, i.e. how far apart any given object in the scene is from the viewer. A sketch of the human brain by artist Priyan Weerappuli, imposed upon the profile of Michelangelos David. ... Stereoscopy, stereoscopic imaging or 3-D (three-dimensional) imaging is a technique to create the illusion of depth in a photograph, movie, or other two-dimensional image, by presenting a slightly different image to each eye. ... This article refers to the sight organ. ...


Stereo cameras is one of many approaches used in the broader fields of Computer Vision and Machine vision. Computer vision is the science and technology of machines that see. ... Machine vision (MV) is the application of computer vision to industry and manufacturing. ...


Other approaches include time of flight sensors and ultrasound. The Time of flight method of measuring particle mass is done as follows. ... Ultrasound is sound with a frequency greater than the upper limit of human hearing, this limit being approximately 20 kilohertz (20,000 hertz). ...


  Results from FactBites:
 
Computer vision - Wikipedia, the free encyclopedia (2670 words)
Since a camera can be seen as a light sensor, there are various methods in computer vision based on correspondences between a physical phenomenon related to light and images of that phenomenon.
Examples of noise processes which are considered are sensor noise (e.g., ultrasonic images) and motion blur (e.g., because of a moving camera or moving objects in the scene).
The aim of feature extraction is to further reduce the data to a set of features, which ought to be invariant to disturbances such as lighting conditions, camera position, noise and distortion.
camera shutters (288 words)
...light path through a camera for a predetermined and usually brief time, for the purpose of making a photographic exposure.
GlobalSpec offers a variety of camera shutters for engineers and through SpecSearch the camera shutters can be searched for the exact specifications....
Rocky Mountain Memories Return to RMM Stereo Camera Repair index Return to RMM 3D Encyclopedia index...
  More results at FactBites »


 

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